Discovering Image Usage Online: A Case Study with "Flatten the Curve"

• Published in: 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL) pp. 293 - 294
• Main Authors: Jones, Shawn M., Oyen, Diane
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2023
• Subjects: COVID-19; image discovery; Oral communication; Pandemics; Search engines; social media; Social networking (online); Visualization; Web and internet services; web archiving; web mining
• DOI: 10.1109/JCDL57899.2023.00064

Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The "Flatten the Curve" graphic was heavily used during the COVID-19 pandemic to convey a complex concept in a simple form. It displays two curves comparing the impact on case loads for medical facilities if the populace either adopts or fails to adopt protective measures during a pandemic. We use five variants of the "Flatten the Curve" image as a case study for viewing the spread of an image online. To evaluate its spread, we leverage three information channels: reverse image search engines, social media, and web archives. Reverse image searches give us a current view into image reuse. Social media helps us understand a variant's popularity over time. Web archives help us see when it was preserved, highlighting a view of popularity for future researchers. Our case study leverages document URLs can be used as a proxy for images when studying the spread of images online.